ML approaches for omic data analysis

This project focuses on developing and applying machine learning (ML) methodologies to analyze complex omic datasets, including genomics, transcriptomics, proteomics, and metabolomics. By leveraging advanced ML techniques, the project aims to uncover novel biological insights, identify biomarkers, and enhance our understanding of molecular mechanisms underlying various diseases. The initiative is a collaborative effort maintained by the Institute of Molecular Biology NAS RA (IMB), the Armenian Bioinformatics Institute (ABI), and the Interdisciplinary Centre for Bioinformatics (IZBI) at the University of Leipzig. These institutions bring together expertise in bioinformatics, molecular biology, and computational sciences to advance the field of omic data analysis.